Yotam Nitzan
- Computer Vision and Pattern Recognition top 2%
- Computer Graphics and Computer-Aided Design top 5%
- Artificial Intelligence
- Computational Mechanics top 10%
- Plant Science
- Co-authors
- Daniel Cohen‐OrYuval AlalufOr PatashnikOmer TovAmit H. BermanoRinon GalRon MokadyM. Bar‐Joseph
- Topics
- Generative Adversarial Networks and Image Synthesis (8 papers)Advanced Image Processing Techniques (3 papers)Plant Virus Research Studies (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHorticulture
- Partner nations
- IsraelUnited States
In The Last Decade
Yotam Nitzan
12 papers receiving 543 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 479
- Computer Graphics and Computer-Aided Design 85
- Artificial Intelligence 76
- Computational Mechanics 65
- Plant Science 42
Countries citing papers authored by Yotam Nitzan
This map shows the geographic impact of Yotam Nitzan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yotam Nitzan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yotam Nitzan more than expected).
Fields of papers citing papers by Yotam Nitzan
This network shows the impact of papers produced by Yotam Nitzan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yotam Nitzan. The network helps show where Yotam Nitzan may publish in the future.
Co-authorship network of co-authors of Yotam Nitzan
This figure shows the co-authorship network connecting the top 25 collaborators of Yotam Nitzan. A scholar is included among the top collaborators of Yotam Nitzan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yotam Nitzan. Yotam Nitzan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 11 | |
| 3 | 44 | |
| 4 | 52 | |
| 5 | 11 | |
| 6 | 0 | |
| 7 | Designing an encoder for StyleGAN image manipulationbreakdown → | 389 |
| 8 | 22 | |
| 9 | Disentangling in Latent Space by Harnessing a Pretrained Generator. | 8 |
| 10 | 7 | |
| 11 | 5 | |
| 12 | 12 | |
| 13 | Natural volatiles to control the California red scale on harvested grapefruit. | 8 |
| 14 | 5 |
About Yotam Nitzan
Yotam Nitzan is a scholar working on Horticulture, Computer Vision and Pattern Recognition and Biophysics, having authored 14 papers that have together received 574 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (8 papers), Advanced Image Processing Techniques (3 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (85 citations), Computer Vision and Pattern Recognition (479 citations) and Horticulture (4 citations). Yotam Nitzan has collaborated with scholars based in Israel and United States. Frequent co-authors include Daniel Cohen‐Or, Yuval Alaluf, Or Patashnik, Omer Tov, Amit H. Bermano, Rinon Gal, Ron Mokady, M. Bar‐Joseph, Inbar Mosseri and Yael Pritch. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum and Annals of Applied Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.